Ibrahim Alrashdi

According to our database, Ibrahim Alrashdi authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles.

Muhammad Rashid Naeem, Muhammad Asghar Khan, Mansoor Khan, Omar Alruwaili, Ibrahim Alrashdi, Saad Awadh Alanazi

Comput. Hum. Behav., 2025

2024

CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration.

Mohamed Abdel-Basset, Reda Mohamed, Ibrahim Alrashdi, Karam M. Sallam, Ibrahim A. Hameed

J. Big Data, December, 2024

Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies.

Ibrahim Alrashdi

BMC Medical Imaging, December, 2024

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks.

Weiping Ding, Ibrahim Alrashdi, Hossam Hawash, Mohamed Abdel-Basset

Inf. Sci., February, 2024

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction.

Weiping Ding, Mohamed Abdel-Basset, Ibrahim Alrashdi, Hossam Hawash

Inf. Sci., 2024

A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things.

Ibrahim Alrashdi, Karam M. Sallam, Ali Alqazzaz, Bilal Arain, Ibrahim A. Hameed

Internet Things, 2024

Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism.

Mohamed Abdel-Basset, Reda Mohamed, Ibrahim Alrashdi, Karam M. Sallam, Ibrahim A. Hameed

Expert Syst. Appl., 2024

A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning.

Yousef Alhwaiti, Ibrahim Alrashdi, Irshad Ahmad, Abdullah Khan

Comput. Hum. Behav., 2024

FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats.

Ibrahim Alrashdi, Karam M. Sallam, Majed Abdullah Alrowaily, Omar Alruwaili, Bilal Arain

Ad Hoc Networks, 2024

Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm.

Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Alwakid

IEEE Access, 2024

2023

A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth.

Ali Alqazzaz, Mohammad Tabrez Quasim, Mohammed Mujib Alshahrani, Ibrahim Alrashdi, Mohammad Ayoub Khan

Comput. Syst. Sci. Eng., 2023

Key Technologies, Applications, Trends of Visual Analysis and Prediction in Healthcare System.

Md Altab Hossin, M. M. Kamruzzaman, Ibrahim Alrashdi, Abdulaziz Marzouq Alsharari, Ayman Almjnoony

Proceedings of the IEEE Globecom Workshops 2023, 2023

AI-Assisted Risk Management Systems in Healthcare Industries of Smart Cities.

Ibrahim Alrashdi, Md Altab Hossin, M. M. Kamruzzaman

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Edge Detection-Based Feature Extraction for the Systems of Activity Recognition.

Muhammad Hameed Siddiqi, Ibrahim Alrashdi

Comput. Intell. Neurosci., 2022

Recent Advances and Challenges of Edge AI and IoT Assisted Covid-19 Alike Detection Systems.

M. M. Kamruzzaman, Md Altab Hossin, Ibrahim Alrashdi

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains.

Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Awadh Alanazi, Muhammad Hasan Jamal

Complex., 2021

Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera.

Ibrahim Alrashdi, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Madallah Alruwaili, Mohammad Azad

IEEE Access, 2021

2020

Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism.

Raed Alharthi, Esam Aloufi, Ibrahim Alrashdi, Ali Alqazzaz, Mohamed A. Zohdy, Julian L. Rrushi

IEEE Access, 2020

TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection.

Esam Aloufi, Raed Alharthi, Ibrahim Alrashdi, Ali Alqazzaz, Dareen Alsulami, Mohamed Zohdy

Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

2019

FBAD: Fog-based Attack Detection for IoT Healthcare in Smart Cities.

Ibrahim Alrashdi, Ali Alqazzaz, Raed Alharthi, Esam Aloufi, Mohamed A. Zohdy, Ming Hua

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

A Practical Evaluation of a Secure and Energy-Efficient Smart Parking System Using the MQTT Protocol.

Ali Alqazzaz, Raed Alharthi, Ibrahim Alrashdi, Esam Aloufi, Mohamed A. Zohdy, Ming Hua

Proceedings of the 3rd International Conference on Information System and Data Mining, 2019

AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning.

Ibrahim Alrashdi, Ali Alqazzaz, Esam Aloufi, Raed Alharthi, Mohamed A. Zohdy, Ming Hua

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing.

Raed Alharthi, Esam Aloufi, Ali Alqazzaz, Ibrahim Alrashdi, Mohamed A. Zohdy

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019